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Resources for Design Principles for data analysis meetup | Apr 14, 2022

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Design principles for data analysis

Resources for the Design principles meetup | Apr 14, 2022

Stephanie Hicks, Asst Prof, Johns Hopkins Bloomberg School of Public Health
Date: Thu, Apr 14, 2022
Time: 4–5p EST
Location: Zoom | Event on Meetup

About the speaker

Dr. Stephanie Hicks is an Assistant Professor in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health. One of the focuses of Dr. Hicks’ group is the analysis of high-throughput biological data, including single-cell RNA-seq data.

Website: https://www.stephaniehicks.com/
Twitter: https://twitter.com/stephaniehicks/
Presentation material
Video recording of the webinar

About the meetup

SYNOPSIS
Dr. Stephanie Hicks will talk about design thinking – the problem-solving process to understand the people for whom a data analysis product is being designed – and how the choices a data analyst makes affect the experience of the consumer.

Title: Design Principles for Data Analysis
Abstract: The data revolution has led to an increased interest in the practice of data analysis. While much has been written about statistical thinking, a complementary form of thinking that appears in the practice of data analysis is design thinking -- the problem-solving process to understand the people for whom a solution is being designed. For a given problem, there can be significant or subtle differences in how a data analyst (or producer of a data analysis) constructs, creates, or designs a data analysis, including differences in the choice of methods, tooling, and workflow. These choices can affect the data analysis products themselves and the experience of the consumer of the data analysis. Therefore, the role of a producer can be thought of as designing the data analysis with a set of design principles. Here, we introduce design principles for data analysis and discuss some case studies where they were used in the classroom to characterize data analyses.

About RLEL

R-Ladies East Lansing (RLEL) is a chapter of R-Ladies Global, an organization whose mission is to promote gender diversity in the R programming community. All genders are welcome at RLEL meetups, and participants must follow the R-Ladies code of conduct.

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